Google Inc.

Grace Chung

Pravir Kumar Gupta

Peter Jin Hong

Jack Wright Menzel

Shashidhar Anil Thakur

Kavi J Goel

Omer Bar-or

Edward Kessler

Christina R Dhanaraj

Jared L Levy

Nathaniel J Gaylinn

Ramakrishnan Kazhiyur-Mannar

Jon Napper

Benson Tsai

Tsung-Yuan Liu

Bruce Leendert Polderman

David Francois Huynh

Yanlai Huang

Chen Zhou

Guanghua Li

Hongda Shen

Methods, systems, and computer programs are presented for an online community management system. One method includes detecting that a user has interacted with a post on a social network. The social network provides a plurality of entity contents. Further, the method includes determining a topic of the post based on content of the post. The method includes recommending following a related entity content of the plurality of entity contents to the user in response to determining that the topic is associated with the related entity content, the user is not following the related entity content, one or more users of the social network have posted in connection with the related entity content within a threshold amount of time, and the user is not blocked from accessing the related entity content.

Entity page recommendation based on post content

Methods, systems, and computer-readable media are provided for ranking search results. A search system may determine several metrics based on search results. The search system may determine weights for the metrics, wherein the weights are based in part on the type of entity included in the search. The search system may determine a score by combining the metrics and the weights. The search system may rank search results based on the score.

Ranking search results based on entity metrics

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying entities that are related to an entity to which a search query is directed. One of the methods includes receiving a search query, wherein the search query has been determined to relate to a first entity of a first entity type, and wherein one or more entities of a second entity type have a relationship with the first entity; receiving search results for the search query; determining that a count of search results identifying a resource containing a reference to the first entity satisfies a first threshold value; determining that a count of search results identifying a resource having the second entity type as a relevant entity type satisfies a second threshold value; and transmitting information identifying the one or more entities of the second entity type as part of the response to the search query.

Related entities

Methods, systems, and computer programs are presented for an online community management system. One method includes an operation for detecting a post on a social network, where the post is associated with an article. The social network has a plurality of entity pages associated with respective entities. Further, the method includes operations for determining a topic of the article based on a content of the article, and for determining whether the topic is associated with a related entity page on the social network. The related entity page is recommended to a user accessing the post when the topic is associated with the related entity page.

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Zetland, Australia

Grace Chung